EDA – Car Pricing

Brought to you by YData

Dataset statistics

Number of variables	19
Number of observations	18575
Missing cells	19
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	12.0 MiB
Average record size in memory	679.8 B

Variable types

Text	2
DateTime	2
Numeric	7
Categorical	8

Alerts

`cubeCapacity` is highly overall correlated with `cylinder` and 3 other fields	High correlation
`cylinder` is highly overall correlated with `cubeCapacity` and 3 other fields	High correlation
`doorNumber` is highly overall correlated with `type`	High correlation
`fuel` is highly overall correlated with `cubeCapacity` and 1 other fields	High correlation
`powerHP` is highly overall correlated with `cubeCapacity` and 3 other fields	High correlation
`powerKW` is highly overall correlated with `cubeCapacity` and 3 other fields	High correlation
`targetPrice` is highly overall correlated with `powerHP` and 2 other fields	High correlation
`type` is highly overall correlated with `doorNumber`	High correlation
`yearIntroduced` is highly overall correlated with `targetPrice`	High correlation
`doorNumber` is highly imbalanced (56.4%)	Imbalance
`transmission` is highly imbalanced (50.0%)	Imbalance
`vehicleID` has unique values	Unique

Reproduction

Analysis started	2025-10-13 19:34:05.465613
Analysis finished	2025-10-13 19:34:10.666419
Duration	5.2 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

vehicleID
Text

Unique

Distinct	18575
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Length

Max length	10
Median length	9
Mean length	9.4023149
Min length	6

Characters and Unicode

Total characters	174648
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18575 ?
Unique (%)	100.0%

Sample

1st row	V_1232
2nd row	V_1233
3rd row	V_1234
4th row	V_1235
5th row	V_1236

Value	Count	Frequency (%)
v_12317	1	< 0.1%
v_12318576	1	< 0.1%
v_1232	1	< 0.1%
v_1233	1	< 0.1%
v_1234	1	< 0.1%
v_1235	1	< 0.1%
v_1236	1	< 0.1%
v_1237	1	< 0.1%
v_1238	1	< 0.1%
v_1239	1	< 0.1%
Other values (18565)	18565	99.9%

Most occurring characters

Value	Count	Frequency (%)
1	34769	19.9%
2	26193	15.0%
3	26193	15.0%
_	18575	10.6%
V	18575	10.6%
4	7618	4.4%
5	7595	4.3%
6	7518	4.3%
7	7514	4.3%
8	7084	4.1%
Other values (2)	13014	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	174648	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	34769	19.9%
2	26193	15.0%
3	26193	15.0%
_	18575	10.6%
V	18575	10.6%
4	7618	4.4%
5	7595	4.3%
6	7518	4.3%
7	7514	4.3%
8	7084	4.1%
Other values (2)	13014	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	174648	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	34769	19.9%
2	26193	15.0%
3	26193	15.0%
_	18575	10.6%
V	18575	10.6%
4	7618	4.4%
5	7595	4.3%
6	7518	4.3%
7	7514	4.3%
8	7084	4.1%
Other values (2)	13014	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	174648	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	34769	19.9%
2	26193	15.0%
3	26193	15.0%
_	18575	10.6%
V	18575	10.6%
4	7618	4.4%
5	7595	4.3%
6	7518	4.3%
7	7514	4.3%
8	7084	4.1%
Other values (2)	13014	7.5%

registrationDate
Date

Distinct	4859
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Memory size	145.2 KiB

Minimum	1990-06-18 00:00:00
Maximum	2024-12-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

kilometers
Real number (ℝ)

Distinct	16693
Distinct (%)	89.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	177312.84

Minimum	160
Maximum	2795490
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	160
5-th percentile	45698.7
Q1	117883.5
median	169721
Q3	226375.5
95-th percentile	329084.1
Maximum	2795490
Range	2795330
Interquartile range (IQR)	108492

Descriptive statistics

Standard deviation	94019.896
Coefficient of variation (CV)	0.53024866
Kurtosis	87.895031
Mean	177312.84
Median Absolute Deviation (MAD)	54255
Skewness	4.0894384
Sum	3.293586 × 10⁹
Variance	8.8397409 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
160	28	0.2%
198722	8	< 0.1%
121604	8	< 0.1%
308405	8	< 0.1%
46957	7	< 0.1%
245610	7	< 0.1%
214349	6	< 0.1%
159356	6	< 0.1%
104813	6	< 0.1%
161	6	< 0.1%
Other values (16683)	18485	99.5%

Value	Count	Frequency (%)
160	28	0.2%
161	6	< 0.1%
216	1	< 0.1%
234	1	< 0.1%
655	1	< 0.1%
998	1	< 0.1%
1362	1	< 0.1%
1780	1	< 0.1%
1850	1	< 0.1%
2070	1	< 0.1%

Value	Count	Frequency (%)
2795490	1	< 0.1%
2667431	1	< 0.1%
2340311	1	< 0.1%
2249130	1	< 0.1%
982968	1	< 0.1%
938048	1	< 0.1%
843017	1	< 0.1%
808613	2	< 0.1%
806029	1	< 0.1%
781195	1	< 0.1%

colour
Categorical

Distinct	15
Distinct (%)	0.1%
Missing	19
Missing (%)	0.1%
Memory size	968.9 KiB

Grey	8733
Black	5626
Blue	1655
White	1571
Red	372
Other values (10)	599

Length

Max length	8
Median length	4
Mean length	4.4042358
Min length	1

Characters and Unicode

Total characters	81725
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Red
2nd row	Red
3rd row	Red
4th row	Red
5th row	Black

Common Values

Value	Count	Frequency (%)
Grey	8733	47.0%
Black	5626	30.3%
Blue	1655	8.9%
White	1571	8.5%
Red	372	2.0%
Green	246	1.3%
Brown	237	1.3%
Beige	40	0.2%
Yellow	32	0.2%
Orange	21	0.1%
Other values (5)	23	0.1%
(Missing)	19	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
grey	8733	47.1%
black	5626	30.3%
blue	1655	8.9%
white	1571	8.5%
red	372	2.0%
green	246	1.3%
brown	237	1.3%
beige	40	0.2%
yellow	32	0.2%
orange	21	0.1%
Other values (5)	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	12977	15.9%
r	9247	11.3%
G	8980	11.0%
y	8733	10.7%
B	7562	9.3%
l	7363	9.0%
a	5651	6.9%
c	5626	6.9%
k	5626	6.9%
u	1659	2.0%
Other values (16)	8301	10.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	81725	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	12977	15.9%
r	9247	11.3%
G	8980	11.0%
y	8733	10.7%
B	7562	9.3%
l	7363	9.0%
a	5651	6.9%
c	5626	6.9%
k	5626	6.9%
u	1659	2.0%
Other values (16)	8301	10.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	81725	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	12977	15.9%
r	9247	11.3%
G	8980	11.0%
y	8733	10.7%
B	7562	9.3%
l	7363	9.0%
a	5651	6.9%
c	5626	6.9%
k	5626	6.9%
u	1659	2.0%
Other values (16)	8301	10.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	81725	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	12977	15.9%
r	9247	11.3%
G	8980	11.0%
y	8733	10.7%
B	7562	9.3%
l	7363	9.0%
a	5651	6.9%
c	5626	6.9%
k	5626	6.9%
u	1659	2.0%
Other values (16)	8301	10.2%

aestheticGrade
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	990.0 KiB

Bad	6575
Very Bad	6203
Medium	3623
Good	1435
Very Good	739

Length

Max length	9
Median length	8
Mean length	5.570821
Min length	3

Characters and Unicode

Total characters	103478
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Good
2nd row	Bad
3rd row	Bad
4th row	Bad
5th row	Bad

Common Values

Value	Count	Frequency (%)
Bad	6575	35.4%
Very Bad	6203	33.4%
Medium	3623	19.5%
Good	1435	7.7%
Very Good	739	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bad	12778	50.1%
very	6942	27.2%
medium	3623	14.2%
good	2174	8.5%

Most occurring characters

Value	Count	Frequency (%)
d	18575	18.0%
B	12778	12.3%
a	12778	12.3%
e	10565	10.2%
V	6942	6.7%
r	6942	6.7%
y	6942	6.7%
	6942	6.7%
o	4348	4.2%
M	3623	3.5%
Other values (4)	13043	12.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	103478	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	18575	18.0%
B	12778	12.3%
a	12778	12.3%
e	10565	10.2%
V	6942	6.7%
r	6942	6.7%
y	6942	6.7%
	6942	6.7%
o	4348	4.2%
M	3623	3.5%
Other values (4)	13043	12.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	103478	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	18575	18.0%
B	12778	12.3%
a	12778	12.3%
e	10565	10.2%
V	6942	6.7%
r	6942	6.7%
y	6942	6.7%
	6942	6.7%
o	4348	4.2%
M	3623	3.5%
Other values (4)	13043	12.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	103478	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	18575	18.0%
B	12778	12.3%
a	12778	12.3%
e	10565	10.2%
V	6942	6.7%
r	6942	6.7%
y	6942	6.7%
	6942	6.7%
o	4348	4.2%
M	3623	3.5%
Other values (4)	13043	12.6%

mechanicalGrade
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	978.3 KiB

Bad	7267
Medium	4203
Good	3574
Very Good	1903
Very Bad	1628

Length

Max length	9
Median length	8
Mean length	4.9241454
Min length	3

Characters and Unicode

Total characters	91466
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Very Good

Common Values

Value	Count	Frequency (%)
Bad	7267	39.1%
Medium	4203	22.6%
Good	3574	19.2%
Very Good	1903	10.2%
Very Bad	1628	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bad	8895	40.2%
good	5477	24.8%
medium	4203	19.0%
very	3531	16.0%

Most occurring characters

Value	Count	Frequency (%)
d	18575	20.3%
o	10954	12.0%
a	8895	9.7%
B	8895	9.7%
e	7734	8.5%
G	5477	6.0%
i	4203	4.6%
M	4203	4.6%
m	4203	4.6%
u	4203	4.6%
Other values (4)	14124	15.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	91466	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	18575	20.3%
o	10954	12.0%
a	8895	9.7%
B	8895	9.7%
e	7734	8.5%
G	5477	6.0%
i	4203	4.6%
M	4203	4.6%
m	4203	4.6%
u	4203	4.6%
Other values (4)	14124	15.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	91466	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	18575	20.3%
o	10954	12.0%
a	8895	9.7%
B	8895	9.7%
e	7734	8.5%
G	5477	6.0%
i	4203	4.6%
M	4203	4.6%
m	4203	4.6%
u	4203	4.6%
Other values (4)	14124	15.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	91466	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	18575	20.3%
o	10954	12.0%
a	8895	9.7%
B	8895	9.7%
e	7734	8.5%
G	5477	6.0%
i	4203	4.6%
M	4203	4.6%
m	4203	4.6%
u	4203	4.6%
Other values (4)	14124	15.4%

saleDate
Date

Distinct	521
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	145.2 KiB

Minimum	1932-09-02 00:00:00
Maximum	2031-11-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

make
Categorical

Distinct	40
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1002.2 KiB

RENAULT	2255
VOLKSWAGEN	1804
PEUGEOT	1740
BMW	1493
OPEL	1462
Other values (35)	9821

Length

Max length	13
Median length	10
Mean length	6.2418304
Min length	2

Characters and Unicode

Total characters	115942
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	HYUNDAI
2nd row	NISSAN
3rd row	NISSAN
4th row	NISSAN
5th row	VOLKSWAGEN

Common Values

Value	Count	Frequency (%)
RENAULT	2255	12.1%
VOLKSWAGEN	1804	9.7%
PEUGEOT	1740	9.4%
BMW	1493	8.0%
OPEL	1462	7.9%
MERCEDES-BENZ	1020	5.5%
CITROEN	993	5.3%
AUDI	800	4.3%
FORD	796	4.3%
FIAT	785	4.2%
Other values (30)	5427	29.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
renault	2255	12.0%
volkswagen	1804	9.6%
peugeot	1740	9.3%
bmw	1493	8.0%
opel	1462	7.8%
mercedes-benz	1020	5.4%
citroen	993	5.3%
audi	800	4.3%
ford	796	4.2%
fiat	785	4.2%
Other values (31)	5605	29.9%

Most occurring characters

Value	Count	Frequency (%)
E	15300	13.2%
O	10821	9.3%
A	10241	8.8%
T	8384	7.2%
N	8347	7.2%
L	6657	5.7%
S	5927	5.1%
R	5772	5.0%
U	5337	4.6%
I	4817	4.2%
Other values (17)	34339	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	115942	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	15300	13.2%
O	10821	9.3%
A	10241	8.8%
T	8384	7.2%
N	8347	7.2%
L	6657	5.7%
S	5927	5.1%
R	5772	5.0%
U	5337	4.6%
I	4817	4.2%
Other values (17)	34339	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	115942	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	15300	13.2%
O	10821	9.3%
A	10241	8.8%
T	8384	7.2%
N	8347	7.2%
L	6657	5.7%
S	5927	5.1%
R	5772	5.0%
U	5337	4.6%
I	4817	4.2%
Other values (17)	34339	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	115942	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	15300	13.2%
O	10821	9.3%
A	10241	8.8%
T	8384	7.2%
N	8347	7.2%
L	6657	5.7%
S	5927	5.1%
R	5772	5.0%
U	5337	4.6%
I	4817	4.2%
Other values (17)	34339	29.6%

model
Text

Distinct	283
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1006.1 KiB

Length

Max length	15
Median length	11
Mean length	4.9831494
Min length	1

Characters and Unicode

Total characters	92562
Distinct characters	66
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	0.2%

Sample

1st row	Kauai
2nd row	Juke
3rd row	Juke
4th row	Juke
5th row	Golf

Value	Count	Frequency (%)
mégan	1148	5.4%
classe	1016	4.8%
clio	787	3.7%
golf	696	3.3%
astra	695	3.3%
c	658	3.1%
serie-3	607	2.9%
polo	602	2.8%
corsa	570	2.7%
ibiza	443	2.1%
Other values (274)	14044	66.0%

Most occurring characters

Value	Count	Frequency (%)
a	8551	9.2%
o	6201	6.7%
i	6086	6.6%
s	5937	6.4%
e	5897	6.4%
C	4830	5.2%
r	4503	4.9%
l	3773	4.1%
n	3146	3.4%
0	3032	3.3%
Other values (56)	40606	43.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	92562	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	8551	9.2%
o	6201	6.7%
i	6086	6.6%
s	5937	6.4%
e	5897	6.4%
C	4830	5.2%
r	4503	4.9%
l	3773	4.1%
n	3146	3.4%
0	3032	3.3%
Other values (56)	40606	43.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	92562	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	8551	9.2%
o	6201	6.7%
i	6086	6.6%
s	5937	6.4%
e	5897	6.4%
C	4830	5.2%
r	4503	4.9%
l	3773	4.1%
n	3146	3.4%
0	3032	3.3%
Other values (56)	40606	43.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	92562	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	8551	9.2%
o	6201	6.7%
i	6086	6.6%
s	5937	6.4%
e	5897	6.4%
C	4830	5.2%
r	4503	4.9%
l	3773	4.1%
n	3146	3.4%
0	3032	3.3%
Other values (56)	40606	43.9%

doorNumber
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	907.1 KiB

5	14601
3	1922
4	1882
2	155
6	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	18575
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	5

Common Values

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

Most occurring characters

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18575	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18575	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18575	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
5	14601	78.6%
3	1922	10.3%
4	1882	10.1%
2	155	0.8%
6	15	0.1%

type
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 MiB

Hatchback	10189
Estate	5970
Sedan	1834
Coupe	582

Length

Max length	9
Median length	9
Mean length	7.5155316
Min length	5

Characters and Unicode

Total characters	139601
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hatchback
2nd row	Hatchback
3rd row	Hatchback
4th row	Hatchback
5th row	Estate

Common Values

Value	Count	Frequency (%)
Hatchback	10189	54.9%
Estate	5970	32.1%
Sedan	1834	9.9%
Coupe	582	3.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hatchback	10189	54.9%
estate	5970	32.1%
sedan	1834	9.9%
coupe	582	3.1%

Most occurring characters

Value	Count	Frequency (%)
a	28182	20.2%
t	22129	15.9%
c	20378	14.6%
H	10189	7.3%
h	10189	7.3%
b	10189	7.3%
k	10189	7.3%
e	8386	6.0%
E	5970	4.3%
s	5970	4.3%
Other values (7)	7830	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	139601	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	28182	20.2%
t	22129	15.9%
c	20378	14.6%
H	10189	7.3%
h	10189	7.3%
b	10189	7.3%
k	10189	7.3%
e	8386	6.0%
E	5970	4.3%
s	5970	4.3%
Other values (7)	7830	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	139601	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	28182	20.2%
t	22129	15.9%
c	20378	14.6%
H	10189	7.3%
h	10189	7.3%
b	10189	7.3%
k	10189	7.3%
e	8386	6.0%
E	5970	4.3%
s	5970	4.3%
Other values (7)	7830	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	139601	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	28182	20.2%
t	22129	15.9%
c	20378	14.6%
H	10189	7.3%
h	10189	7.3%
b	10189	7.3%
k	10189	7.3%
e	8386	6.0%
E	5970	4.3%
s	5970	4.3%
Other values (7)	7830	5.6%

fuel
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	998.0 KiB

Diesel	12466
Petrol	6016
Electric	93

Length

Max length	8
Median length	6
Mean length	6.0100135
Min length	6

Characters and Unicode

Total characters	111636
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Petrol
2nd row	Diesel
3rd row	Diesel
4th row	Diesel
5th row	Diesel

Common Values

Value	Count	Frequency (%)
Diesel	12466	67.1%
Petrol	6016	32.4%
Electric	93	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
diesel	12466	67.1%
petrol	6016	32.4%
electric	93	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	31041	27.8%
l	18575	16.6%
i	12559	11.2%
D	12466	11.2%
s	12466	11.2%
t	6109	5.5%
r	6109	5.5%
P	6016	5.4%
o	6016	5.4%
c	186	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	111636	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	31041	27.8%
l	18575	16.6%
i	12559	11.2%
D	12466	11.2%
s	12466	11.2%
t	6109	5.5%
r	6109	5.5%
P	6016	5.4%
o	6016	5.4%
c	186	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	111636	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	31041	27.8%
l	18575	16.6%
i	12559	11.2%
D	12466	11.2%
s	12466	11.2%
t	6109	5.5%
r	6109	5.5%
P	6016	5.4%
o	6016	5.4%
c	186	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	111636	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	31041	27.8%
l	18575	16.6%
i	12559	11.2%
D	12466	11.2%
s	12466	11.2%
t	6109	5.5%
r	6109	5.5%
P	6016	5.4%
o	6016	5.4%
c	186	0.2%

transmission
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1003.8 KiB

Manual	16532
Automatic	2043

Length

Max length	9
Median length	6
Mean length	6.3299596
Min length	6

Characters and Unicode

Total characters	117579
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Manual
2nd row	Manual
3rd row	Manual
4th row	Manual
5th row	Automatic

Common Values

Value	Count	Frequency (%)
Manual	16532	89.0%
Automatic	2043	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
manual	16532	89.0%
automatic	2043	11.0%

Most occurring characters

Value	Count	Frequency (%)
a	35107	29.9%
u	18575	15.8%
M	16532	14.1%
n	16532	14.1%
l	16532	14.1%
t	4086	3.5%
A	2043	1.7%
o	2043	1.7%
m	2043	1.7%
i	2043	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	117579	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	35107	29.9%
u	18575	15.8%
M	16532	14.1%
n	16532	14.1%
l	16532	14.1%
t	4086	3.5%
A	2043	1.7%
o	2043	1.7%
m	2043	1.7%
i	2043	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	117579	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	35107	29.9%
u	18575	15.8%
M	16532	14.1%
n	16532	14.1%
l	16532	14.1%
t	4086	3.5%
A	2043	1.7%
o	2043	1.7%
m	2043	1.7%
i	2043	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	117579	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	35107	29.9%
u	18575	15.8%
M	16532	14.1%
n	16532	14.1%
l	16532	14.1%
t	4086	3.5%
A	2043	1.7%
o	2043	1.7%
m	2043	1.7%
i	2043	1.7%

yearIntroduced
Real number (ℝ)

High correlation

Distinct	34
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2006.9496

Minimum	1985
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	1985
5-th percentile	1998
Q1	2003
median	2007
Q3	2011
95-th percentile	2016
Maximum	2020
Range	35
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.192612
Coefficient of variation (CV)	0.0025873156
Kurtosis	-0.34724081
Mean	2006.9496
Median Absolute Deviation (MAD)	4
Skewness	-0.11338301
Sum	37279089
Variance	26.963219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
2008	1614	8.7%
2005	1516	8.2%
2009	1484	8.0%
2007	1399	7.5%
2004	1215	6.5%
2012	1074	5.8%
2006	1046	5.6%
2003	1006	5.4%
2001	904	4.9%
2013	898	4.8%
Other values (24)	6419	34.6%

Value	Count	Frequency (%)
1985	5	< 0.1%
1987	1	< 0.1%
1989	2	< 0.1%
1990	1	< 0.1%
1991	14	0.1%
1992	28	0.2%
1993	57	0.3%
1994	40	0.2%
1995	49	0.3%
1996	143	0.8%

Value	Count	Frequency (%)
2020	2	< 0.1%
2019	25	0.1%
2018	147	0.8%
2017	237	1.3%
2016	563	3.0%
2015	544	2.9%
2014	645	3.5%
2013	898	4.8%
2012	1074	5.8%
2011	547	2.9%

cylinder
Real number (ℝ)

High correlation

Distinct	39
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.460511

Minimum	0
Maximum	50
Zeros	93
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	12
median	15
Q3	19
95-th percentile	21
Maximum	50
Range	50
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.0429799
Coefficient of variation (CV)	0.26150363
Kurtosis	4.7118978
Mean	15.460511
Median Absolute Deviation (MAD)	3
Skewness	0.86946656
Sum	287179
Variance	16.345687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
16	3295	17.7%
12	2889	15.6%
20	2746	14.8%
15	2429	13.1%
14	2300	12.4%
11	952	5.1%
19	903	4.9%
10	864	4.7%
21	439	2.4%
17	316	1.7%
Other values (29)	1442	7.8%

Value	Count	Frequency (%)
0	93	0.5%
6	10	0.1%
7	31	0.2%
8	127	0.7%
9	151	0.8%
10	864	4.7%
11	952	5.1%
12	2889	15.6%
13	250	1.3%
14	2300	12.4%

Value	Count	Frequency (%)
50	3	< 0.1%
48	1	< 0.1%
47	1	< 0.1%
44	7	< 0.1%
43	1	< 0.1%
42	3	< 0.1%
41	1	< 0.1%
40	3	< 0.1%
39	1	< 0.1%
36	1	< 0.1%

cubeCapacity
Real number (ℝ)

High correlation

Distinct	212
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1540.2247

Minimum	0
Maximum	4966
Zeros	93
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	1248
median	1461
Q3	1870
95-th percentile	2143
Maximum	4966
Range	4966
Interquartile range (IQR)	622

Descriptive statistics

Standard deviation	397.66174
Coefficient of variation (CV)	0.25818424
Kurtosis	5.128262
Mean	1540.2247
Median Absolute Deviation (MAD)	215
Skewness	0.95676335
Sum	28609673
Variance	158134.86
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1461	2049	11.0%
1560	1565	8.4%
1598	1392	7.5%
1995	1117	6.0%
1248	954	5.1%
1896	630	3.4%
1968	623	3.4%
1198	583	3.1%
1398	582	3.1%
1242	491	2.6%
Other values (202)	8589	46.2%

Value	Count	Frequency (%)
0	93	0.5%
599	10	0.1%
698	31	0.2%
796	24	0.1%
799	103	0.6%
875	13	0.1%
898	132	0.7%
899	6	< 0.1%
954	12	0.1%
973	6	< 0.1%

Value	Count	Frequency (%)
4966	3	< 0.1%
4806	1	< 0.1%
4663	1	< 0.1%
4398	3	< 0.1%
4395	4	< 0.1%
4293	1	< 0.1%
4196	2	< 0.1%
4172	1	< 0.1%
4134	1	< 0.1%
3997	2	< 0.1%

powerKW
Real number (ℝ)

High correlation

Distinct	137
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.892544

Minimum	29
Maximum	412
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	29
5-th percentile	45
Q1	55
median	74
Q3	88
95-th percentile	132
Maximum	412
Range	383
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	28.744424
Coefficient of variation (CV)	0.36902665
Kurtosis	8.4773965
Mean	77.892544
Median Absolute Deviation (MAD)	15
Skewness	1.9533692
Sum	1446854
Variance	826.24193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	1905	10.3%
55	1521	8.2%
81	1381	7.4%
77	860	4.6%
51	847	4.6%
50	698	3.8%
80	663	3.6%
70	647	3.5%
85	601	3.2%
110	595	3.2%
Other values (127)	8857	47.7%

Value	Count	Frequency (%)
29	6	< 0.1%
30	45	0.2%
33	29	0.2%
37	127	0.7%
38	24	0.1%
39	40	0.2%
40	72	0.4%
41	5	< 0.1%
42	4	< 0.1%
43	87	0.5%

Value	Count	Frequency (%)
412	3	< 0.1%
320	1	< 0.1%
317	1	< 0.1%
315	2	< 0.1%
300	1	< 0.1%
294	1	< 0.1%
280	4	< 0.1%
272	1	< 0.1%
270	3	< 0.1%
258	1	< 0.1%

powerHP
Real number (ℝ)

High correlation

Distinct	160
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105.99736

Minimum	39
Maximum	560
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	39
5-th percentile	61
Q1	75
median	100
Q3	120
95-th percentile	180
Maximum	560
Range	521
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	39.065234
Coefficient of variation (CV)	0.36854912
Kurtosis	8.4892257
Mean	105.99736
Median Absolute Deviation (MAD)	20
Skewness	1.9561873
Sum	1968901
Variance	1526.0925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	1882	10.1%
75	1534	8.3%
110	1409	7.6%
105	1049	5.6%
95	648	3.5%
109	638	3.4%
68	620	3.3%
150	587	3.2%
70	582	3.1%
115	554	3.0%
Other values (150)	9072	48.8%

Value	Count	Frequency (%)
39	5	< 0.1%
40	1	< 0.1%
41	45	0.2%
45	29	0.2%
50	127	0.7%
51	23	0.1%
52	1	< 0.1%
53	1	< 0.1%
54	80	0.4%
55	36	0.2%

Value	Count	Frequency (%)
560	3	< 0.1%
435	1	< 0.1%
431	1	< 0.1%
428	2	< 0.1%
407	1	< 0.1%
400	1	< 0.1%
381	4	< 0.1%
370	1	< 0.1%
367	3	< 0.1%
350	1	< 0.1%

targetPrice
Real number (ℝ)

High correlation

Distinct	407
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5960.217

Minimum	400
Maximum	60200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	145.2 KiB

Quantile statistics

Minimum	400
5-th percentile	850
Q1	2000
median	4100
Q3	7700
95-th percentile	17000
Maximum	60200
Range	59800
Interquartile range (IQR)	5700

Descriptive statistics

Standard deviation	6021.3456
Coefficient of variation (CV)	1.0102561
Kurtosis	10.856872
Mean	5960.217
Median Absolute Deviation (MAD)	2400
Skewness	2.7156971
Sum	1.1071103 × 10⁸
Variance	36256603
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	402	2.2%
1300	322	1.7%
1700	301	1.6%
1200	295	1.6%
1600	294	1.6%
1100	277	1.5%
2300	272	1.5%
1000	270	1.5%
1900	268	1.4%
2000	267	1.4%
Other values (397)	15607	84.0%

Value	Count	Frequency (%)
400	30	0.2%
450	44	0.2%
500	115	0.6%
530	1	< 0.1%
550	33	0.2%
600	136	0.7%
650	39	0.2%
700	202	1.1%
750	46	0.2%
800	244	1.3%

Value	Count	Frequency (%)
60200	1	< 0.1%
57800	2	< 0.1%
57600	1	< 0.1%
57400	1	< 0.1%
57300	1	< 0.1%
56900	1	< 0.1%
56600	1	< 0.1%
52600	1	< 0.1%
52300	2	< 0.1%
50000	1	< 0.1%

	aestheticGrade	colour	cubeCapacity	cylinder	doorNumber	fuel	kilometers	make	mechanicalGrade	powerHP	powerKW	targetPrice	transmission	type	yearIntroduced
aestheticGrade	1.000	0.080	0.079	0.073	0.017	0.101	0.056	0.137	0.210	0.106	0.106	0.228	0.177	0.038	0.215
colour	0.080	1.000	0.066	0.071	0.091	0.124	0.051	0.101	0.079	0.054	0.054	0.064	0.058	0.113	0.116
cubeCapacity	0.079	0.066	1.000	0.993	0.218	0.793	0.319	0.383	0.084	0.846	0.844	0.358	0.464	0.353	0.085
cylinder	0.073	0.071	0.993	1.000	0.216	0.806	0.322	0.356	0.089	0.847	0.845	0.352	0.439	0.338	0.078
doorNumber	0.017	0.091	0.218	0.216	1.000	0.132	0.069	0.309	0.044	0.190	0.191	0.084	0.131	0.684	0.103
fuel	0.101	0.124	0.793	0.806	0.132	1.000	0.127	0.307	0.087	0.339	0.337	0.201	0.238	0.272	0.239
kilometers	0.056	0.051	0.319	0.322	0.069	0.127	1.000	0.078	0.146	0.151	0.151	-0.442	0.000	0.106	-0.459
make	0.137	0.101	0.383	0.356	0.309	0.307	0.078	1.000	0.156	0.331	0.329	0.289	0.466	0.451	0.162
mechanicalGrade	0.210	0.079	0.084	0.089	0.044	0.087	0.146	0.156	1.000	0.100	0.100	0.295	0.235	0.059	0.323
powerHP	0.106	0.054	0.846	0.847	0.190	0.339	0.151	0.331	0.100	1.000	0.999	0.531	0.496	0.311	0.287
powerKW	0.106	0.054	0.844	0.845	0.191	0.337	0.151	0.329	0.100	0.999	1.000	0.530	0.496	0.313	0.285
targetPrice	0.228	0.064	0.358	0.352	0.084	0.201	-0.442	0.289	0.295	0.531	0.530	1.000	0.469	0.103	0.837
transmission	0.177	0.058	0.464	0.439	0.131	0.238	0.000	0.466	0.235	0.496	0.496	0.469	1.000	0.279	0.253
type	0.038	0.113	0.353	0.338	0.684	0.272	0.106	0.451	0.059	0.311	0.313	0.103	0.279	1.000	0.113
yearIntroduced	0.215	0.116	0.085	0.078	0.103	0.239	-0.459	0.162	0.323	0.287	0.285	0.837	0.253	0.113	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	vehicleID	registrationDate	kilometers	colour	aestheticGrade	mechanicalGrade	saleDate	make	model	doorNumber	type	fuel	transmission	yearIntroduced	cylinder	cubeCapacity	powerKW	powerHP	targetPrice
0	V_1232	23/01/2022	8984	Red	Very Good	Very Good	07/11/2022	HYUNDAI	Kauai	5	Hatchback	Petrol	Manual	2017	10	998	88	120	17300
1	V_1233	23/01/2017	127566	Red	Bad	Good	20/08/2022	NISSAN	Juke	5	Hatchback	Diesel	Manual	2010	15	1461	81	110	8800
2	V_1234	23/01/2017	127566	Red	Bad	Good	13/09/2022	NISSAN	Juke	5	Hatchback	Diesel	Manual	2010	15	1461	81	110	9600
3	V_1235	23/01/2017	127566	Red	Bad	Good	16/08/2022	NISSAN	Juke	5	Hatchback	Diesel	Manual	2010	15	1461	81	110	8500
4	V_1236	23/01/2016	108759	Black	Bad	Very Good	09/05/2022	VOLKSWAGEN	Golf	5	Estate	Diesel	Automatic	2013	16	1598	77	105	11300
5	V_1237	23/01/2016	185798	Black	Bad	Medium	01/06/2022	NISSAN	Qashqai	5	Estate	Diesel	Manual	2009	16	1598	96	130	12200
6	V_1238	23/01/2016	185798	Black	Bad	Medium	08/06/2022	NISSAN	Qashqai	5	Estate	Diesel	Manual	2009	16	1598	96	130	11700
7	V_1239	23/01/2013	179959	Black	Bad	Medium	18/05/2022	RENAULT	Clio	5	Estate	Diesel	Manual	2009	15	1461	66	90	3900
8	V_12310	23/01/2013	195703	Grey	Medium	Bad	16/11/2022	FORD	Focus	5	Estate	Diesel	Manual	2008	16	1560	80	109	2700
9	V_12311	23/01/2013	197582	Black	Very Bad	Bad	28/08/2022	ALFA ROMEO	Giulietta	5	Hatchback	Diesel	Manual	2010	16	1598	77	105	4900

	vehicleID	registrationDate	kilometers	colour	aestheticGrade	mechanicalGrade	saleDate	make	model	doorNumber	type	fuel	transmission	yearIntroduced	cylinder	cubeCapacity	powerKW	powerHP	targetPrice
18565	V_12318567	14/09/2016	71420	Grey	Bad	Medium	11/10/2023	TOYOTA	Auris	5	Estate	Diesel	Manual	2013	14	1364	66	90	10500
18566	V_12318568	22/06/2008	253884	Black	Very Bad	Very Bad	18/10/2023	MERCEDES-BENZ	Classe C	5	Estate	Diesel	Manual	2001	21	2148	105	143	3500
18567	V_12318569	10/09/2005	135036	Grey	Very Bad	Good	16/10/2023	AUDI	A4	5	Estate	Diesel	Automatic	2001	19	1896	96	130	5300
18568	V_12318570	19/08/2014	197823	Black	Bad	Bad	11/10/2023	NISSAN	Qashqai	5	Estate	Diesel	Manual	2009	15	1461	81	109	8700
18569	V_12318571	18/12/2010	190766	Grey	Bad	Bad	11/10/2023	AUDI	A3	5	Estate	Diesel	Manual	2008	20	1968	103	140	6700
18570	V_12318572	22/08/2005	190913	Black	Bad	Bad	14/10/2023	AUDI	A4	5	Estate	Petrol	Manual	2001	16	1595	75	102	2500
18571	V_12318573	25/08/2020	278484	Grey	Medium	Medium	11/10/2023	RENAULT	Mégan	5	Estate	Diesel	Manual	2016	15	1461	81	110	8800
18572	V_12318574	23/07/2017	157217	Grey	Very Bad	Good	11/10/2023	SEAT	Leon	5	Estate	Diesel	Manual	2013	16	1598	81	110	9700
18573	V_12318575	21/06/2017	156823	Grey	Bad	Very Good	11/10/2023	AUDI	A6	5	Estate	Diesel	Automatic	2014	20	1968	140	190	18900
18574	V_12318576	20/11/2013	131553	Black	Very Bad	Medium	16/10/2023	SEAT	Ibiza	5	Estate	Petrol	Manual	2010	12	1198	51	70	4300

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts